Industrial companies do not incur losses due to some serious mistakes that they make. Losses accrue through hundreds of small mistakes that take place daily in their operations without them being aware - their unexpected downtime, asset loss, maintenance delay, manual inspection, and lack of data integration.
Individually, these might appear to be insignificant, but when taken together, they can greatly affect productivity, operating costs, and customer service levels.
That is why the focus of the industries today is on shifting from reactive operations to predictive analytics through Artificial Intelligence (AI) and Internet of Things (IoT).
*Reactive Operations Have Become Irrelevant
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Reactive operation involves scheduling of maintenance, manual reporting, and past data. The company finds out about any problem during its operation after it has caused some damage to production.
The result is:
- Unexpected downtime of equipment
- Increased maintenance costs
- Lack of visibility in operations
- Slow reaction to critical issues
- Poor asset utilization
*Intelligence Embedded in All IoT Devices
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IoT devices constantly gather data from machinery, cars, sensors, and industrial machinery. AI makes sense of all this raw data by recognizing patterns which can be missed by humans.
Rather than focusing on "What happened?", one can start thinking about:
"What will happen next?"
"Which asset requires my attention right now?"
"How are my bottlenecks being formed?"
"How can I optimize resource usage?"
This is how one can start making better decisions based on reliable data.
*Analysis Rather Than Just Monitoring
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Today's industrial platforms do much more than show you dashboards. These systems analyze data in real-time in order to help the company recognize abnormalities and plan its operations properly.
It results in such outcomes as:
Increased reliability of equipment
Improvement of employees' productivity
Better asset management
Decreased operational risks
Quicker data-driven decision-making
Creating AI-Based Solutions to Make an Actual Difference in the World
Developing effective AI-based solutions means more than having cutting-edge technologies. They require insight into industrial environment and its daily needs.
This is the reason why industrial venture studios are becoming more relevant today. Instead of creating common software, they produce tailored companies that solve practical issues.
One of them is Aperture Venture Studio that produces ventures dealing with AI and IoT technologies that are focused on industrial intelligence, automation and connectivity. For more information about their work and ways in which venture studio concept transforms the industry, visit the website Aperture Venture Studio
*Conclusion
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Industrial transformation does not mean replacement of personnel by technology. It implies providing your teams with all necessary means to make faster and informed decisions.
When AI and IoT are further developed, those organizations that choose to implement predictive operations will have better chances to reduce costs and increase their efficiency.
The future will belong to organizations that are able to convert real-time data into actionable results with the help of AIoT.
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